AI & Smart Systems
AI Development
Ship AI that survives contact with production.
Most AI initiatives die between the demo and the deployment. Sydova builds AI systems that make it all the way: scoped around a measurable business outcome, engineered with evaluation harnesses from day one, and shipped with the observability to prove they work.
Our AI team pairs ML engineers with product-minded full-stack developers, so the model is never the whole story — the workflow around it, the guardrails, and the UX get equal engineering weight.
Engagements range from 2-week AI feasibility sprints to multi-quarter platform builds with dedicated teams.
What's included
AI Development services we offer
AI Feasibility Sprints
Two weeks from idea to a working proof-of-concept with an honest go/no-go recommendation.
Custom Model Pipelines
Data pipelines, fine-tuning, evaluation suites, and deployment on your cloud.
AI Product Engineering
Full-stack products with AI at the core — UX, APIs, billing, and admin included.
MLOps & Monitoring
Versioned prompts and models, drift detection, cost dashboards, and rollback paths.
How we work
A process built for certainty
- 1
Discovery
We map goals, users, constraints, and success metrics into a scoped roadmap with fixed milestones.
- 2
Design
UX flows and UI systems are prototyped, tested against real content, and signed off before build.
- 3
Build
Senior engineers ship in weekly sprints with code review, CI, and a demo environment you can click.
- 4
QA & Launch
Automated and manual QA, performance and accessibility audits, then a monitored, reversible launch.
- 5
Support
Post-launch SLAs, iteration sprints, and roadmap reviews keep the product improving.
Stack & models
Technologies and ways to engage
Fixed-scope project
Defined deliverables, milestone billing, and a warranty period.
- Signed scope & timeline
- Weekly demo cadence
- Best for bounded builds
Dedicated team
A stable pod on monthly capacity, steered by your priorities.
- Scales quarterly
- Roadmap-driven
- Best for products
Hourly / retainer
Flexible senior hours for audits, fixes, and advisory.
- 40-hour minimum
- Rolls over 1 month
- Best for ongoing needs
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Projects delivered
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Years in business
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Client retention
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5-star reviews
Proof
AI Development in production
“Sydova treated accuracy like an engineering metric, not a marketing claim. That rigor is why schools trust the product.”
Priya Raman
Chief Product Officer, Lumina EdTech
FAQ
AI Development — common questions
How do you decide between building custom models and using APIs?
We benchmark hosted frontier models against your task first. Custom training only enters the picture when evals show the gap justifies the cost — which is rarer than most vendors admit.
How do you measure whether the AI actually works?
Every engagement starts with an evaluation dataset built from your real cases. We report accuracy, latency, and cost per task before and after every change.
Can you work with our sensitive data?
Yes — we deploy inside your VPC or on-prem where required, and we're used to working under DPAs, SOC 2 controls, and regional data-residency constraints.
What does a typical AI project cost?
Feasibility sprints start around $8k. Production builds typically run $40k–$250k depending on scope; a dedicated AI pod is a monthly engagement.
Who owns the IP?
You do — code, prompts, fine-tuned weights, and evaluation data are all delivered to your repos and accounts.
Related services
Where teams go next
AI Agents & Workflow Automation
Agentic systems that execute multi-step business workflows with guardrails and audit trails.
RAG Development
Retrieval-augmented generation over your documents, data, and knowledge — with measured accuracy.
LLM Application Development
Production applications built on frontier models — prompt systems, tool use, and evals included.
Ready to start with ai development?
Tell us where you're headed — a senior specialist replies within one business day.